verifier.org

Cerebras

the fastest inference hardware built, attached to a pricing page that wouldn't tell us what anything costs.

unpublished#developers-who-want-extr#can-work-within-a-daily-

the technology is genuinely in a class of its own and the subscription tiers are good value — but we could not verify a single per-token rate, and that costs it eight places.

the wafer-scale hardware is not marketing: independent leaderboards have put cerebras far ahead of gpu-based inference on large models, and no competitor here claims comparable throughput. if generation speed is the product constraint, this is the shortlist.

what we could verify is thin. $5 of free credits, a $10 self-serve minimum, and two subscription plans — code pro at $50/month for up to 24 million tokens a day, code max at $200/month for up to 120 million. those are strong allowances if your usage fits the daily cap shape.

the description above is ours, condensed from the ranking. pricing moves — check it on the vendor's own page before you rely on it.

pricing
unpublished
our verdict

the technology is genuinely in a class of its own and the subscription tiers are good value — but we could not verify a single per-token rate, and that costs it eight places.

we researched this category against vendors' own pricing pages and licence files. that is where this line comes from — not from the vendor, and not from anything they paid for.

more llm inference providers

Anyscale

ray-based platform for serving and scaling your own models

#ray#self-serve

Hyperbolic

open-model inference and rented gpus on one account

#open-models#gpu

Parasail

serverless and dedicated endpoints for open-weight models

#serverless#dedicated

Novita AI

we checked this$0.135 / 1m in

near-cheapest prices with the full frontier catalogue behind them, and a batch discount the cheap rivals don't offer.

#most-teams-it-s-within-a#it-actually-carries-what